{"id":"W3084593701","doi":"10.5267/j.ac.2020.8.025","title":"The effects of macroeconomic factors on the rate of return of securities","year":2020,"lang":"en","type":"article","venue":"Accounting","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monetary economics; Business; Economics; Financial system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001594317,0.0003582351,0.0003780831,0.001464242,0.0002784387,0.003400686,0.0002560467,0.0005835445,0.002657363],"category_scores_gemma":[0.009859357,0.0001962288,0.0005684556,0.001814057,0.0004894284,0.001484026,0.0005540586,0.0009873807,0.000754056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008948778,"about_ca_system_score_gemma":0.0005000476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009269231,"about_ca_topic_score_gemma":0.006570764,"domain_scores_codex":[0.9991933,0.0001479656,0.0001211709,0.0001447614,0.0002112661,0.0001815325],"domain_scores_gemma":[0.989105,0.002909927,0.006048316,0.000318871,0.00108774,0.0005300786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001917442,0.00004389954,0.9802927,0.00005244766,0.0001710587,0.0007154369,0.0001520309,0.0068596,0.0006657987,0.002267663,0.0006494563,0.007938061],"study_design_scores_gemma":[0.000009846523,0.0001466853,0.9824769,0.00002881246,0.0001039902,0.0002751763,0.0004564993,0.01222584,0.0009939058,0.001256667,0.00198438,0.00004125262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889789,0.001785014,0.001657938,0.000585636,0.00005471413,0.00002069531,0.001270496,0.00004188019,0.005604702],"genre_scores_gemma":[0.9973441,0.0006306324,0.0001187293,0.00002464224,0.00004266041,0.000004312396,0.0008132957,0.000007351424,0.001014262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009269231,"threshold_uncertainty_score":0.01843059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556009628443039,"score_gpt":0.192544381116833,"score_spread":0.1769842848324026,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}